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Posted to issues@beam.apache.org by "Kenneth Knowles (Jira)" <ji...@apache.org> on 2022/01/12 03:51:02 UTC
[jira] [Updated] (BEAM-5775) Make the spark runner not serialize data unless spark is spilling to disk
[ https://issues.apache.org/jira/browse/BEAM-5775?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kenneth Knowles updated BEAM-5775:
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This Jira ticket has a pull request attached to it, but is still open. Did the pull request resolve the issue? If so, could you please mark it resolved? This will help the project have a clear view of its open issues.
> Make the spark runner not serialize data unless spark is spilling to disk
> -------------------------------------------------------------------------
>
> Key: BEAM-5775
> URL: https://issues.apache.org/jira/browse/BEAM-5775
> Project: Beam
> Issue Type: Improvement
> Components: runner-spark
> Reporter: Mike Kaplinskiy
> Priority: P3
> Time Spent: 12h 20m
> Remaining Estimate: 0h
>
> Currently for storage level MEMORY_ONLY, Beam does not coder-ify the data. This lets Spark keep the data in memory avoiding the serialization round trip. Unfortunately the logic is fairly coarse - as soon as you switch to MEMORY_AND_DISK, Beam coder-ifys the data even though Spark might have chosen to keep the data in memory, incurring the serialization overhead.
>
> Ideally Beam would serialize the data lazily - as Spark chooses to spill to disk. This would be a change in behavior when using beam, but luckily Spark has a solution for folks that want data serialized in memory - MEMORY_AND_DISK_SER will keep the data serialized.
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